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Paper Citation Record · LEDGER

Benchmarking Constraint Inference in Inverse Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.09670.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2206.09670 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:30:32.493964Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T00:56:18.479207Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 07ccb6da-09a5-464c-afee-fb8cb5a603f5 · inbound

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories cites this paper.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Benchmarking Constraint Inference in Inverse Reinforcement Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:32.493964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:32.493964Z digest=sha256:97e732f938c332200ae9530ce0185e1403cdf286310a6c8397f967de6b67db63

Observation ad31ae12-57bd-439d-867d-f7a3d00c880e · inbound

DRIVE: Dynamic Rule Inference and Verified Evaluation for Constraint-Aware Autonomous Driving cites this paper.

DRIVE: Dynamic Rule Inference and Verified Evaluation for Constraint-Aware Autonomous Driving Benchmarking Constraint Inference in Inverse Reinforcement Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:56:18.580698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T00:56:16.761252Z digest=sha256:b595489cac0f2e02687f8dcdaf2122d714e009b817aea2a0dd6db4095ccb6344